Abstract:Objective To analyze the epidemiological characteristics of influenza clusters in Hangzhou from 2018 to 2019, so as to provide references for the prevention and control of influenza. Methods The data came from the epidemic investigation reports of influenza clusters in Hangzhou from the 27th week of 2018 and the 26th week of 2019. The time distribution, school types, population distribution and etiology of influenza were analyzed. Multivariate logistic regression model was employed to analyze the influencing factors for the attack rate of influenza clusters. Results During the surveillance season, a total of 231 school influenza clusters involving 4 233 cases were reported. The median of the attack rate was 21.74%. The peak of the clusters was in March 2019, with 89 events and 1 476 cases ( 34.87% ). The clusters occurred mainly in primary schools ( 188 events, 81.39% ) and were mainly caused by Victoria-like strains of influenza B virus ( 84 events, 36.36% ). The multivariate logistic regression analysis indicated that infection of teachers increased the risk of high attack rate ( OR=3.133, 95%CI: 1.180-8.320 ), and kindergartens had higher risk of high attack rate than primary schools ( OR=4.123, 95%CI: 1.579-10.763 ). Conclusions The influenza clusters in Hangzhou from 2018 to 2019 is mainly caused by Victoria-like strains of influenza B virus. Kindergartens and teachers are the key points for the prevention and control of influenza clusters.
刘牧文, 王婧, 杨旭辉, 宋姝娟. 杭州市流行性感冒聚集性疫情流行特征[J]. 预防医学, 2021, 33(1): 16-20.
LIU Muwen, WANG Jing, YANG Xuhui, SONG Shujuan. Epidemiological characteristics of influenza clusters in Hangzhou. Preventive Medicine, 2021, 33(1): 16-20.
[1] 杨静,陈涛,祝菲,等.2017—2018年度中国大陆流行性感冒病例报告情况分析[J].热带病与寄生虫学,2018,16(2):63-66. [2] 刘丽军,杨静,祝菲,等.2017—2018年中国流感样病例暴发疫情分析[J].中华预防医学杂志,2019,53(10):982-985. [3] 徐文彩,王珺,张海艳,等.2013—2015年北京市东城区流感样病例暴发疫情流行病学特征分析[J].现代预防医学,2016,43(10):1760-1762. [4] 周体操,张志成,张义,等.陕西省2004—2015年学校突发公共卫生事件流行病学分析[J].中国学校卫生,2017,38(4):570-572. [5] ALI S T,KADI A S,FERGUSON N M,et al.Transmission dynamics of the 2009 influenza A (H1N1) pandemic in India:the impact of holiday-related school closure[J].Epidemics,2013,5(4):157-163. [6] 钟剑明,梁静,李学云,等.学校流感暴发疫情防控措施动力学模型效果分析[J].现代预防医学,2019,46(11):1946-1950. [7] LOEB M,RUSSELL M L,MOSS L,et al.Effect of influenza vaccination of children on infection rates in Hutterite Communities: a randomized trial[J].JAMA,2010,303(10):943-950. [8] SALO H,KILPI T,SINTONEN H,et al.Cost-effectiveness of influenza vaccination of healthy children[J].Vaccine,2006,24(23):4934-4941. [9] 中华人民共和国国家卫生健康委员会.关于印发流感样病例暴发疫情处置指南(2018年版)的通知[EB/OL].(2018-11-19)[2020-09-14]. http://www.pdsedu.gov.cn/xwzx/ksdt__jgsz/ejjg/xxwsbjz/gzdtwsbj/content_73194. [10] 马萍,王敬军,张义,等.陕西省2006—2013 年流感暴发疫情流行特征影响因素[J].中国公共卫生,2015,31(1):17-21. [11] 温雯,黄立勇,王海滨,等.2014—2016 年北京市朝阳区流感聚集性疫情流行特征及影响因素分析[J].现代预防医学,2017,44(14):2507-2510. [12] 杨静,汪立杰,祝菲,等.中国大陆地区2016—2017监测年度流感暴发疫情流行病学特征分析[J].中国公共卫生,2018,34(6):839-842. [13] 程伟,余昭,刘社兰,等.浙江省不同亚型流感确诊病例流行和临床特征分析[J].预防医学,2019,31(1):62-64. [14] 蒋小仙,李均,罗琴,等.2 326例流感样病例流感病毒检测结果分析[J].浙江预防医学,2016,28(1):63-64. [15] 中国国家流感中心.2019年第14周第538期中国流感监测周报[EB/OL].[2020-09-14]. http://www.chinaivdc.cn/cnic/zyzx/lgzb/201904/t20190413_201044.htm. [16] 孙瑛,杨鹏,张莉,等.北京市2018—2019年流感流行季集中发热疫情特征分析[J].国际病毒学杂志,2020,27(1):19-22. [17] 冯录召,彭质斌,王大燕,等.中国流感疫苗预防接种技术指南(2018—2019)[J].中华流行病学杂志,2018,39(11):1413-1425. [18] 郝莉,朱冰,施文英,等.杭州市小学生因病缺课监测分析[J].预防医学,2019,31(7):728-731. [19] OSTERHOLM M T,KELLEY N S,SOMMER A,et al.Efficacy and effectiveness of influenza vaccines: a systematic review and meta-analysis[J]. Lancet Infect Dis,2012,12(1):36-44. [20] PAN Y,WANG Q Y,YANG P,et al.Influenza vaccination in preventing outbreaks in schools:a long-term ecological overview[J].Vaccine,2017,35(51):7133-7138. [21] 朱军礼,郑迎军,章光明,等.季节性流感疫苗预防效果病例对照研究 Meta分析[J].中国疫苗和免疫,2017,23(2): 216-221.